Phylogenetics is rapidly progressing as the statistical foundation of
comparative biology, providing a framework that accounts for the shared
ancestry inherent in biological data.
Soon after phylogenetics became feasible as a likelihood-based statistical
endeavor [1]}, models became richer to better
capture processes of biological diversification and character change.
This increasing trend in model complexity made Bayesian approaches appealing,
because they can approximate posterior distributions of rich models by
leveraging prior information and hierarchical models, where researchers can
take into account uncertainty at all levels in the hierarchy.
